1.Scale AI
San Francisco, CA, USAModel evaluation and red-teaming services.
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Professional Companies
Compare the best ai evaluation and testing companies in the USA for 2026. Review specialties, locations and websites to shortlist the right partner.
Use the comparison to build a shortlist, then review each company profile for its specialty, location and approach.
Updated October 10, 2026
Side-by-side comparison of leading providers serving USA clients
| Company | Specialty | Location | Website |
|---|---|---|---|
| #1Scale AI | Model evaluation and red-teaming services. | San Francisco, CA, USA | Visit site |
| #2Patronus AI | Automated LLM evaluation and testing. | San Francisco, CA, USA | Visit site |
| #3Arize AI | LLM evaluation and observability. | Berkeley, CA, USA | Visit site |
| #4Galileo | Evaluation intelligence for generative AI. | San Francisco, CA, USA | Visit site |
| #5Braintrust | Evals and monitoring for AI products. | San Francisco, CA, USA | Visit site |
| #6Haize Labs | Automated red-teaming for AI systems. | New York, NY, USA | Visit site |
Use this comparison to identify a shortlist, then review the detailed company profiles and USA buyer’s guide below.
Review the available information for each provider before requesting references, pricing and a project proposal.
Model evaluation and red-teaming services.
Visit website →Automated LLM evaluation and testing.
Visit website →LLM evaluation and observability.
Visit website →Evaluation intelligence for generative AI.
Visit website →Evals and monitoring for AI products.
Visit website →Automated red-teaming for AI systems.
Visit website →Compare delivery models, rates, contracts and risk before selecting a provider for a US engagement.
This page lists 6 ai evaluation and testing companies providers that work with United States clients. We look at delivery track record, whether the team overlaps with US time zones, how they scope and price work, and whether they can sign standard US contracts including an MSA, SOW, NDA and mutual indemnity.
Firms currently featured include Scale AI, Patronus AI, Arize AI, and Galileo.
Delivery footprints on this list span San Francisco, CA, USA, Berkeley, CA, USA, and New York, NY, USA, so you can choose between onshore US delivery, nearshore teams with 3–5 hours of overlap, and offshore teams priced for volume work.
US buyers usually see three engagement models for ai evaluation and testing companies: fixed-scope projects, time and materials with a monthly cap, and a dedicated team retainer. Onshore US consultancies typically bill $151–$250 per hour, nearshore partners in Latin America $55–$95, and offshore teams $25–$55.
Ask for a rate card by role, not a blended rate — a blended number hides how much of the work is done by junior staff. For fixed-bid work, insist on a written change-order process, and for retainers, confirm the notice period and any minimum monthly hours.
Watch the total cost of ownership: discovery workshops, knowledge transfer, post-launch support, and the cost of taking the work back in house at the end.
Before you sign, confirm the provider carries professional liability (E&O) and cyber insurance with US-acceptable limits, and that the MSA clearly assigns IP ownership of all deliverables to you on payment.
If the engagement touches regulated data, get the compliance posture in writing: SOC 2 Type II for the provider's own systems, HIPAA with a signed BAA for health data, CCPA/CPRA handling for California consumer data, GLBA for financial services, and background-check policies for anyone with production access.
Also nail down worker classification and subcontracting — many US buyers require written approval before any part of the work is passed to a third party.
Run the same questions past two or three firms from this list and compare the answers side by side — the differences are usually more revealing than the proposals.
Practical answers for USA clients comparing providers, pricing and engagement models.